Triple
T2865421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chesapeake and Ohio Railway |
E63425
|
entity |
| Predicate | servedCoalFields |
P782
|
FINISHED |
| Object | southern West Virginia coalfields |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: southern West Virginia coalfields | Statement: [Chesapeake and Ohio Railway, servedCoalFields, southern West Virginia coalfields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedCoalFields Context triple: [Chesapeake and Ohio Railway, servedCoalFields, southern West Virginia coalfields]
-
A.
coalMinedFrom
Indicates that a quantity or batch of coal has been extracted from a particular source location, such as a mine or geological deposit.
-
B.
hasCoalBasin
Indicates that one entity contains, includes, or is characterized by a coal-bearing geological basin associated with the other entity.
-
C.
hasCoalMiningHistory
Indicates that an entity has a past or ongoing involvement in coal mining activities or industry.
-
D.
eraOfMajorMiningActivity
Indicates the time period during which significant or primary mining operations took place for the associated entity.
-
E.
servedByRailroad
chosen
Indicates that a location or facility is provided with transportation or service by a railroad line or company.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfb9e64c819087b1a47caeb174d5 |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.